Advanced Driver Assistance Systems (ADAS) assist the driver during the driving task to improve the driving comfort and therefore indirectly traffic safety, ACC (Adaptive Cruise Control) is a typical example for a “Comfort ADAS” system. “Safety ADAS” directly target the improvement of safety, such as a forward collision warning or other systems which assist the driver during an emergency situati...

Railway level crossings have the potential to bring motor vehicles and trains into fatal contact. In Australia there are approximately 9,400 public railway level crossings across the country, protected either passively (64%) or by active/automated systems (28%). Passive crossings provide only a stationary sign warning of the possibility of trains crossing. Their message remains constant over ti...

In Intelligent Transport System (ITS), prevention from accident is one of prominent area of research in which various approaches are implemented and proposed to assist and warn driver from accidents. As a part of warning system lane departure technique is widely considered, that monitor vehicle’s movement , and warn driver before lane departure which will prevent driver from head on collision. ...

In safety automotive applications the system must me capable of early recognizing the maneuvers performed by the driver and the intention associated with them in order to take preventive measures or trigger warning alarms. This is done by the situation refinement level in the fusion system that processes the data provided by the on-board sensors. By recognizing relationships between entities of...

Increasing efforts in the transportation system have recently improved driver safety and reduced crash rates. Lack of attention fatigue directly affect driver's consciousness. Driver distraction is an essential driver-specific factor practical applicability forward collision warning (FCW). However, there are still too many false alarms generated by existing FCW to be mitigated. This paper propo...

Driver drowsiness detection technologies have the ability to avoid a catastrophic accident by warning the driver of his drowsiness. A number of methods have been proposed to detect drowsiness in the past few years. These methods are categorized into two major categories. One focuses on detecting physical changes during drowsiness by image processing techniques, such as percentage of eye-closure...